| Deep convolutional neural networks for multi-modality isointense infant brain image segmentation W Zhang, R Li, H Deng, L Wang, W Lin, S Ji, D Shen NeuroImage 108, 214-224, 2015 | 526 | 2015 |
| Deep learning based imaging data completion for improved brain disease diagnosis R Li, W Zhang, HI Suk, L Wang, J Li, D Shen, S Ji International Conference on Medical Image Computing and Computer-Assisted …, 2014 | 283 | 2014 |
| Deep model based transfer and multi-task learning for biological image analysis W Zhang, R Li, T Zeng, Q Sun, S Kumar, J Ye, S Ji IEEE transactions on Big Data, 2016 | 114 | 2016 |
| A sparsity-inducing formulation for evolutionary co-clustering S Ji, W Zhang, J Liu Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 15 | 2012 |
| Retrospective correction of motion artifact affected structural MRI images using deep learning of simulated motion BA Duffy, W Zhang, H Tang, L Zhao, M Law, AW Toga, H Kim | 13 | 2018 |
| Evolutionary soft co-clustering: formulations, algorithms, and applications W Zhang, R Li, D Feng, A Chernikov, N Chrisochoides, C Osgood, S Ji Data Mining and Knowledge Discovery 29 (3), 765-791, 2015 | 13 | 2015 |
| Automated identification of cell-type-specific genes in the mouse brain by image computing of expression patterns R Li, W Zhang, S Ji BMC bioinformatics 15 (1), 209, 2014 | 11 | 2014 |
| A mesh generation and machine learning framework for Drosophilagene expression pattern image analysis W Zhang, D Feng, R Li, A Chernikov, N Chrisochoides, C Osgood, ... BMC bioinformatics 14 (1), 372, 2013 | 11 | 2013 |
| Sparsity learning formulations for mining time-varying data R Li, W Zhang, Y Zhao, Z Zhu, S Ji IEEE Transactions on Knowledge and Data Engineering 27 (5), 1411-1423, 2014 | 10 | 2014 |
| A probabilistic latent semantic analysis model for coclustering the mouse brain atlas S Ji, W Zhang, R Li IEEE/ACM transactions on computational biology and bioinformatics 10 (6 …, 2013 | 10 | 2013 |
| Evolutionary Soft Co-Clustering W Zhang, S Ji, R Zhang | 6 | 2013 |
| Towards Adaptive Ontology Visualization - Predicting User Success from Behavioral Data WZ Bo Fu, Ben Steichen International Journal of Semantic Computing 13 (4), 2019 | 1 | 2019 |
| Classification of Shark Behaviors using K-Nearest Neighbors S Karan, EN Meese, Y Yang, HG Yeh, CG Lowe, W Zhang 2019 IEEE Green Energy and Smart Systems Conference (IGESSC), 1-6, 2019 | | 2019 |
| Deep Convolutional Neural Networks for Shark Behavior Analysis HGY Wenlu Zhang, Anthony Martinez, Emily Meese, Christopher G. Lowe, Yu Yang IEEE Green Energy & Smart System Conference, pp. 1-6, 2019 | | 2019 |
| Deep Learning Models for Biomedical Image Analysis B Ji, W Zhang, R Li, H Ji Computational Models for Biomedical Reasoning and Problem Solving, 128-148, 2019 | | 2019 |
| A Computational Framework for Learning from Complex Data: Formulations, Algorithms, and Applications W Zhang | | 2016 |
| Communications & Digital Signal Processing I Alvarado, J Bai, M Arifujjaman, S Abu-elzait, HJJ Yeh, R Sturdivant, ... | | |
Shuiwang Ji, Associate ProfessorDepartment of Computer Science & Engineering, Texas A&M UniversityVerified email at tamu.edu
